(BPT) - The need for behavioral health therapy, the broader term for how actions, habits and behaviors impact a person's overall physical and mental well-being, is on the rise. Yet, in this age where most everyone has a digital device in their pockets, the tools available to therapists and mental health care clinicians, to help their patients are still rudimentary.
The success of behavioral health therapy is as reliant on what occurs in between sessions, the individual work and record keeping as it is during the scheduled check-in. Patients often are encouraged to write in their journal daily or weekly and practice mental health exercises before their next session, with the hope that vital details could still be recalled at the time of journal entry. They need better tools than pen and paper to help them document progress and keep needed details to share with their mental health care clinicians.
The good news is, change in therapy is coming. New approaches driven by technological advances are making it easier for clinicians to provide services between sessions and show the impact of measurement-based care on patient outcomes and progress to justify insurance reimbursements.
These changes also help clients: Technology transforms mental health care from a segmented, once-a-week appointment cadence into a continuous, supported experience. Today, patients can voice-journal their frustrations on the drive home while their feelings are still raw, track changing moods in real time and work through evidence-based exercises on their own schedule all week long.
This breakthrough provides better tools for patients, while in turn giving back to mental health care clinicians. AI-driven tools can now capture moments that used to fall through the cracks, turning between-session time into an active part of the therapeutic process. For example, a remote therapeutic monitoring (RTM) solution called ReliefAI Health uses clinically validated cognitive behavioral therapy (CBT) as a part of the treatment plan that mental health care clinicians can prescribe to their patients. ReliefAI Health operates within the FDA's framework for clinical decision support software. The platform enables patient and clinicians to track progress along their mental health journey on a daily or even hourly basis.
For mental health care clinicians, ReliefAI's solution can synthesize patients' between-session data including voice journals, mood patterns and completed exercises into clear clinical insights they can review before each appointment. Instead of spending the first ten minutes of each session reconstructing the patient's week, clinicians can focus on the treatment.
The result? Behavioral health care that's more personalized, more effective and more human - because technology is not replacing the mental health care clinicians, but it is giving them more measurable data to act upon. The clinician now has a more complete understanding of what is truly impacting their patients. This approach documents patients' progress throughout the process, creating quantifiable data that can show tangible progress and impact.
"We've created a solution that strengthens the connection between clinicians and patients, while providing a bigger picture of the therapy experience beyond the traditional session," said Atul Singh, CEO, ReliefAI Health. "By integrating AI-powered tools, we're creating a new paradigm of digital empowerment for mental health that drives better results for everyone."
In the long term, use of RTM will bring positive changes to the industry, enabling therapists and clinics to more effectively treat patients, show measurable value and create a much more personal ongoing process that will lead patients to better mental health outcomes.
What ReliefAI Health provides
ReliefAI is a new LG NOVA-backed venture launched in October 2025 and is just one of the latest innovations in LG's history of supporting mental health. The platform provides:
- A Patient-Facing Mobile App: The user-friendly application encourages patient engagement through features like mood tracking, voice journaling with AI insights and therapist-assigned CBT goal setting.
- An Integrated Provider Dashboard: The comprehensive dashboard syncs with a practice's existing electronic health record (EHR) platform for ease of use. It provides therapists with real-time patient activity trends, AI-driven alerts and tools for assigning and monitoring CBT activities.
- Advanced Security: End-to-end data encryption, role-based access control and continuous risk assessment to ensure HIPAA compliance.
Better mental health care tools mean more consistent care
Despite today's demand for mental health care, 44 percent of patients discontinue therapy within the first four weeks.[1] This represents a critical breakdown in the therapy process, leading to poor outcomes for patients and therapists alike.
According to Singh, ReliefAI not only improves communications between mental health clinicians and their patients, but it also aims to address one of the most pressing challenges in mental healthcare: reducing early patient drop-out rates.
By adjusting communication methods and engagement frequency, providers can gather more data and analysis on a client's daily challenges and progress, providing a more comprehensive picture of each patient's mental health and well-being. With more insights, providers can help clients better manage ongoing issues and triggers, while uncovering underlying causes of behavior. This will result in more effective care and lasting improvements, Singh explains.
For providers, ReliefAI boosts patient engagement and retention. These technology and AI capabilities also help increase efficiency, so providers can potentially take on more patients to meet today's growing need. The connected care platform seamlessly integrates into existing clinical practices to enhance patient retention, outcomes and revenue. By strengthening the therapeutic alliance through AI-driven tools and insights, ReliefAI goes beyond therapy to create the future of digital empowerment for mental health.
"ReliefAI is the only platform delivered through existing outpatient clinics, rather than creating a separate network of providers," added Singh. "This model ensures that the trusted existing relationship between therapist and patient remains at the center of the care journey."
Learn more about ReliefAI Health at ReliefAI.co.
[1] "Early Dropout from Psychotherapy for Depression with Group- and Network-model Therapists," Administration and Policy in Mental Health and Mental Health Services Research, 39(6), 440-447, 2012. Accessed 5/19/2026. https://pmc.ncbi.nlm.nih.gov/articles/PMC3708590/.